We are advancing Python-based AI products by engineering secure, observable, and scalable agentic systems that solve real business problems. You will implement multi-agent orchestration with tools like LangChain and LangGraph, build RAG pipelines, and integrate MCP while leveraging AWS Bedrock and GCP Vertex AI. Join the team and apply now to deliver robust AI capabilities into production.ResponsibilitiesArchitect and deliver scalable systems that enable data-driven intelligent applicationsConvert sophisticated technical ideas into working implementations that match organizational objectivesCoordinate with multidisciplinary teams to clarify technical needs and achieve strong delivery outcomesDevelop readable, maintainable code that follows industry conventions and is properly documentedDiagnose and address technical problems throughout the full software development lifecycleConduct peer code reviews and offer clear, actionable suggestions to improve qualityExplore new technology trends and propose upgrades to current infrastructureContribute to architectural planning that influences the future technical roadmapCoach less experienced engineers and spread technical expertise across the teamValidate that solutions meet scalability, performance, and long-term maintainability expectationsRequirementsHands-on experience of 3+ years in Python engineering, with evidence of creating, deploying, and operating reliable AI systems and smart applications in production environmentsAdvanced know-how in building stateful multi-agent processes, autonomous agentic systems, and cross-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK,



and AWS Strands Agents SDKReal-world exposure to Model Context Protocol (MCP) integration effortsDemonstrated ability to develop and sustain Retrieval-Augmented Generation (RAG) pipeline solutionsStrong command of prompt engineering to optimize communication with language modelsExperience implementing guardrails that enforce safe and controlled AI behaviorKnowledge of knowledge graphs and their application in AI solution designExperience integrating foundation models via cloud services including AWS Bedrock and GCP Vertex AICapability to uphold evaluation discipline, observability practices, and security safeguards in production AI systemsEffective communication skills plus functional English fluency (B2 level or above) to understand business needs and translate them into agentic architecture designsWe offerInternational projects with top brandsWork with general teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.#J-18808-Ljbffr

📌 Senior Python Ai Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia